Abstract
In recent years, the processes of training, teaching, and online learning have become more widespread. In this context, open education has the role of empowering people to meet their learning goals. Aligned with this vision, educational institutions are offering open access to their educational resources. However, content is delivering from different platforms by making a challenging task for users to find accurate information. To face this issue, the academic community is adopting Semantic Web and Linked Data for publishing and sharing data. In this chapter, the author presents the main findings in this area. From a technological point of view, the contribution focuses on the main stages of the linked data publishing cycle. Also, from the perspective of the application domain, the author explains the research's contribution regarding three dimensions of Open Education. This chapter ends with some thoughts regarding the author's research path, her remaining tasks, and future trends.
TopBackground
In this section, the author describes the two areas on which she has focused her research. On the one hand, open education constitutes the application domain, and on the other hand, the SW and LD define the technological framework used to address different problems in the domain.
Key Terms in this Chapter
SPARQL: Query language used to access and retrieve RDF data distributed in different geographical locations.
Semantic Annotation: It is a process that consists of finding text fragments that mention or name entities described in semantic repositories.
DBpedia: It is the most popular project around linked data. DBPedia provides ontologies and RDF data of the infoboxes extracted from Wikipedia pages.
OWL: It is the acronym of Web Ontology Language, semantic web technology used to create an ontology computable model.
Vocabulary: It is a data model that defines the terminology of a domain of interest.